On “Data Quality”
I have interviewed a number of Data Scientists and asked them questions on Data Quality. I listed their reply, below. Perhaps they are useful for your work. Take what you think is relevant for you...
Category: Big Data, Analytical Data Platforms, AI and Data Science
InterSystems IRIS Data Platform™
Setting a New Level of Performance InterSystems IRIS Data Platform™ sets a new level of performance for rapidly developing and deploying important applications. All of the needed tools and capabilities are provided in a reliable, unified platform...
An Introduction to Redis-ML (Part Five)
Sep 5, 2017 by Tague Griffith This post is part five of a series of posts examining the features of the Redis-ML module. The first post in the series can be found here. The sample code included in...
Image Recognition at the Speed of Memory Bandwidth
BY MICHAEL HARRIS JUNE 29, 2017 MemSQL is a real-time data warehouse and a perfect system for large scale operational analytics. MemSQL provides millisecond response times for analytical queries and is a part of the...
Predicting Mood Disorder Risk — A Data Blending and Machine Learning Approach
Predicting Mood Disorder Risk A Data Blending and Machine Learning Approach MASTER’S THESIS by Alex Klein and Florian Reifschneider A thesis submitted in fulfillment of the requirements for the degree of Master of Science Frankfurt...
Free Entry – Big Data Analytics World Championships 2017
31/8/2017 14:55 TEXATA We’re hosting the 3rd TEXATA Big Data Analytics World Championships (www.texata.com) a fun, educational and challenging online global competition for professionals and students looking to build and showcase their real-world skills...
Q&A with Data Scientists: Jeff Saltz
Jeff Saltz is currently an Associate Professor at Syracuse University, in the School of Information Studies. His research and teaching focus on helping organizations leverage information technology and data for competitive advantage. Specifically, Jeff’s current research...
HYBRID CLOUD CONSIDERATIONS FOR BIG DATA AND ANALYTICS
The Cloud Standards Customer Council™- White Paper Quite often, the need for data security and privacy makes organizations hesitant about migrating data to the public cloud. Fortunately, the business model for cloud services is...
CLOUD CUSTOMER ARCHITECTURE FOR BIG DATA AND ANALYTICS V2.0
The Cloud Standards Customer Council™ has published a new white paper. Big data analytics (BDA) and cloud computing are a top priority for CIOs. Harnessing the value and power of big data and cloud computing...
Global Biobank Engine
Dr. Manuel Rivas at the Stanford Medical School Department of Biomedical Data Science has launched a web-based engine for exploring association results for large-scale genotype-phenotype association studies starting with the data from the UK Biobank and...